Deterministic non-adaptive contention resolution on a shared channel

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE
Gianluca De Marco , Dariusz R. Kowalski , Grzegorz Stachowiak
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引用次数: 0

Abstract

In a multiple access channel, autonomous stations are able to transmit and listen to a shared device. A fundamental problem, called contention resolution, is to allow any station to successfully deliver its message by resolving the conflicts that arise when several stations transmit simultaneously. Despite a long history on such a problem, most of the results deal with the static setting when all stations start simultaneously, while many fundamental questions remain open in the realistic scenario when stations can join the channel at arbitrary times. In this paper, we explore the impact that three major channel features (asynchrony among stations, knowledge of the number of contenders and possibility of switching off stations after a successful transmission) can have on the time complexity of non-adaptive deterministic algorithms. We establish upper and lower bounds allowing to understand which parameters permit time-efficient contention resolution and which do not.

共享通道上的确定性非自适应争用解析
在多址信道中,自主站能够发送和监听共享设备。一个称为争用解决的基本问题是,通过解决几个站同时传输时出现的冲突,允许任何一个站成功地传递其消息。尽管在这个问题上有很长的历史,但大多数结果都涉及所有站点同时启动时的静态设置,而在站点可以在任意时间加入信道的现实场景中,许多基本问题仍然悬而未决。在本文中,我们探讨了三个主要信道特征(站点之间的异步性、竞争者数量的知识以及成功传输后关闭站点的可能性)对非自适应确定性算法的时间复杂性的影响。我们建立了上限和下限,以便了解哪些参数允许时间有效的争用解决,哪些参数不允许。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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